Lifecycle & Strategy

It covers topics such as data product management, the data product lifecycle, and defining data product strategy.

Intermediate

Difficulty

5.0

Hours per week

8

Live Sessions

Feb 13, 2024

Next Date

Objective

The objective of this program is to provide participants with a comprehensive understanding of data product management and strategy. It aims to equip them with the knowledge and skills required to effectively manage data-driven products throughout their lifecycle and develop a solid data product strategy.

Requeriments

• Familiarity with data management concepts and technologies.

• Understanding of basic project management principles.

• Proficiency in a programming language commonly used in data engineering, such as Python

Syllabus

1
Introduction to Data Product Management

Get an overview of data product management and its critical role in leveraging data assets effectively. Explore the key responsibilities and essential skills of a data product manager. Understand the intersection of data, technology, and business objectives to drive successful data product outcomes.

2
Data Product Lifecycle

Learn about the different stages of the data product lifecycle, from ideation to maintenance. Gain insights into the key activities and considerations at each stage. Develop the ability to manage cross-functional teams and stakeholders throughout the data product's lifecycle.

3
Defining Data Product Strategy

Discover how to identify business goals and align data products with the broader organizational objectives. Conduct market analysis and understand user needs to tailor data products accordingly. Create a roadmap for data product development and evolution, ensuring alignment with strategic goals.

Mentor

Mentor to be defined.
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